Salesforce (United States)

369 papers and 9.3k indexed citations i.

About

In recent decades, authors affiliated with Salesforce (United States) have published 369 papers, which have received a total of 9.3k indexed citations. Scholars at this organization have produced 216 papers in Artificial Intelligence, 99 papers in Computer Vision and Pattern Recognition and 58 papers in Information Systems on the topics of Topic Modeling (132 papers), Natural Language Processing Techniques (97 papers) and Multimodal Machine Learning Applications (64 papers). Their work is cited by papers focused on Artificial Intelligence (5.2k citations), Computer Vision and Pattern Recognition (3.0k citations) and Information Systems (1.0k citations). Authors at Salesforce (United States) collaborate with scholars in United States, Singapore and China and have published in prestigious journals including Nature, The Lancet and Nature Communications. Some of Salesforce (United States)'s most productive authors include Caiming Xiong, Richard Socher, Steven C. H. Hoi, Jiasen Lu, Devi Parikh, Doyen Sahoo, Bryan McCann, Xiongwei Wu, Wojciech Kryściński and Shafiq Joty.

In The Last Decade

Fields of papers published by authors at Salesforce (United States)

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Salesforce (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Salesforce (United States) at the time of their publication.

Countries citing scholars working at Salesforce (United States)

Since Specialization

Citations

This map shows the geographic impact of research produced by authors working at Salesforce (United States). It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Salesforce (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salesforce (United States) more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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